# MemoryIQ

> Use this tool when you need to access and contribute to a shared knowledge base, enabling seamless search, capture, and curation of information across multiple AI systems. It solves problems of knowledge fragmentation and improves collaborative learning through the MCP protocol. Ideal for use cases requiring unified semantic memory, such as multi-agent learning and knowledge graph construction.

Canonical page: https://skillsregistry.net/skills/simsketch-memoryiq  
JSON: https://api.skillsregistry.net/v1/skills/simsketch-memoryiq

## Description

Enables AI tools to access and contribute to shared semantic memory, supporting search, capture, and curation of knowledge across multiple brains via the MCP protocol.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/q1incqey99)
- **Repository:** <https://github.com/simsketch/memoryiq>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "simsketch-memoryiq"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/simsketch-memoryiq` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/simsketch-memoryiq/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt